Data Engineer

The Marlin Alliance

$85K — $100K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Data Science, or related field; equivalent experience considered
  • 3-5 years of experience in data engineering or related field
  • Experience with Databricks and PySpark for large-scale data processing
  • Proficient in Python programming
  • Strong SQL skills for query writing, optimization, and troubleshooting
  • Ability to derive insights from ambiguous datasets
  • Excellent written and verbal communication skills
  • Capability to work collaboratively in a team environment and solve technical challenges

Responsibilities

  • Design, build, and maintain scalable data pipelines using Databricks and PySpark
  • Develop and optimize Python and SQL-based data transformation workflows
  • Analyze datasets with no predefined analytic requirements and derive actionable insights
  • Collaborate with stakeholders to clarify data problems and identify analytic solutions
  • Ensure data quality, governance, and consistency across pipelines
  • Document data engineering processes and pipeline architecture
  • Troubleshoot and resolve issues in data pipelines to guarantee timely data delivery

Benefits

  • Hybrid work schedule in San Diego, CA
  • Collaborative work environment with cross-disciplinary teams
  • Opportunity to support Department of Defense programs
  • Possibility for professional growth and development in data engineering
  • Participation in projects that impact Navy client missions
Full Job Description
Data Engineer

The Marlin Alliance is seeking a dedicated Data Engineer to support our Navy client. The successful candidate will support a DoD client program by designing, building, and maintaining data pipelines that transform raw operational data into governed, analytics-ready datasets. This role plays a key part in enabling the client's mission systems to make effective use of complex, evolving data sources, often in the absence of pre-defined analytic requirements. The position sits within a cross-disciplinary technical team delivering practical, results-driven data solutions.

Location: San Diego, CA, Hybrid
Clearance: Ability to obtain a Secret security clearance required
Travel: Minimal travel may be required

Responsibilities:
  • Design, build, and maintain scalable data pipelines using Databricks and PySpark
  • Develop and optimize Python and SQL based data transformation workflows
  • Analyze datasets that may lack predefined analytic requirements and independently identify valuable, actionable insights
  • Collaborate with stakeholders to translate ambiguous data problems into clear analytic solutions
  • Ensure data quality, governance, and consistency across pipelines and outputs
  • Document data engineering processes, pipeline architecture, and analytic approaches
  • Partner with cross-functional team members to integrate data outputs into downstream applications and dashboards
  • Troubleshoot and resolve data pipeline issues to maintain reliable, timely data delivery

Required Qualifications:
  • Bachelor's degree in Computer Science, Data Science, or a related field; equivalent professional experience may be considered in lieu of a degree
  • 3 to 5 years of experience in data engineering or a related field
  • Demonstrated experience with Databricks and PySpark for large scale data processing
  • Strong programming ability in Python
  • Experience writing, optimizing, and troubleshooting SQL queries
  • Demonstrated ability to infer and define valuable analytics from datasets without established analytic requirements
  • Strong written and verbal communication skills, with the ability to convey technical concepts to diverse audiences
  • Ability to analyze technical challenges and contribute to effective solutions in a team environment
  • Must be a US citizen and able to obtain and maintain a Secret security clearance

Preferred Qualifications:
  • Experience with React for front end development
  • Experience with Palantir Foundry
  • Prior experience supporting Department of Defense programs
  • Active security clearance

Work Environment and Mental/Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.
  • Typical office environment with no unusual hazards
  • The noise level in the work environment is usually moderate
  • Constant sitting while using the computer terminal
  • Constant use of sight abilities while reviewing documents
  • Constant use of speech/hearing abilities for communication
  • Occasional reaching, stooping, kneeling, or crouching may be required
  • Occasional lifting up to 20 pounds
  • Constant use of mental alertness
  • Frequent work under deadlines

Job Classification:

Associate
$85,000 to $100,000 (recommended estimate, pending internal validation)

Disclaimer:

This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees will be required to follow any other job related instructions and to perform any other job related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.

To perform this job successfully, the incumbents will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities.

This document does not create an employment contract, implied or otherwise, other than an at will relationship.

  • Seniority Level

    Entry level
  • Employment Type

    Full-time
  • Job Functions
    • Information Technology
  • Skills
    • Business Process
    • Computer Science
    • Communication
    • Data Transformation
    • Data Science
    • Communication Training
    • Enhanced Data Rates for GSM Evolution (EDGE)
    • Plays
    • Azure Dat

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